Graph Machine Learning Intern

Join Our Summer Internship Program and Make a Real Impact!

Are you ready to do meaningful work in a cutting-edge, research-driven organization? At Alexion (an AstraZeneca company for Rare Diseases), our summer internship program offers you the opportunity to develop the skills, knowledge, and connections that will set you up for future success. This program will begin on June 2nd and potentially run through August 8th, 2025.

As an intern, you’ll be part of a dynamic, global team of curious, passionate, and open-minded individuals who are eager to learn, innovate, and grow. You’ll collaborate with industry-leading professionals, contribute to impactful projects, and gain hands-on experience in a supportive and forward-thinking environment.

If you’re enthusiastic about science, innovation, and making a difference, our internship program is your chance to follow your passion and kickstart your career!

This is what you will do:

• The Bioinformatics Intern is a member of the Bioinformatics Data Sciences (BDS) team based in Boston.
• The Bioinformatics Intern performs all responsibilities in accordance with company policies, procedures, and regulations.
• The Bioinformatics Intern supports the BDS team to achieve our vision of ‘Through our people, Alexion Country RQA OpEx are dedicated to achieving our aspiration of ‘Delighting Our Customers’ by enabling the business to continually supply on time, in full, at the right price, products and services that are local market regulatory and Alexion Quality System compliant’. This is achieved through the execution of our strategies upon which our goals are built.
  
  
  

You will be responsible for:

• Work as part of the BDS team to conduct research on the characterization of rare diseases based on available datasets in the public domains, both in the rare and the common disease areas.
• Support the BDS team to execute key projects in support of the achievement of our overall strategy, including but not limited to:
• To identify the less studied rare diseases that lack of having many associated information (e.g., genomics, symptoms).
• To design models capable of learning from rare or non-rare diseases to characterize the identified less studied rare diseases (inductive predictive models).
• Drug-disease association learning.
• To implement a proof of concept for assessing the possibility of using AI and inductive learning in the context of revealing the mechanisms of action behind rare diseases.
• Other activities as maybe requested by the BDS leadership.
  
  
  

You will need to have:

• In the progress of completing a Ph.D. or equivalent in data science or computer science or a related discipline.
• Good knowledge and experience with network science, graph machine learning, inductive learning, and Python.
• Have a track of publications in the GraphML or bioinformatics areas.
• Demonstrated decision making, problem solving and project management skills.
• Technical writing skills are required.
• Good accuracy and attention to detail.
• Planning and organizing skills are required and the ability to adjust to changing priorities.
• Excellent interpersonal skills are required, as is the ability to communicate well, both verbally and written.
• The individual in this position is expected to represent Alexion Pharmaceutical interests, objectives and policies and culture in a responsible and professional manner.
• The person in this position will receive supervisory direction on all routine and non-routine activities. Routine activities will be unsupervised as training and competency develops.
• The position requires the individual to work collaboratively with colleagues, peers, and managers.
  
  
  

We would prefer for you to have:

• Understanding of inductive learning and experience with graph machine learning.
• Experience with handling networked data, especially in the biological domains.
• An understanding of target identification using network biology and computational approaches.
  
  
  

*The successful candidate must be actively enrolled in a Ph.D. program*

*This internship provides an opportunity for publications that can be a part of your dissertation. *

We reserve the right to close this posting early based on application volume or capacity. Our priority is to ensure that every applicant receives the privilege of thorough review and consideration. To achieve this, we may need to limit the number of applications we process, as there are a finite number of open positions available. We encourage interested candidates to apply as soon as possible.